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CrowdTraj: A Benchmark for Dense Crowd Trajectory Prediction in Realistic Crowded Environments
In real-world applications, pedestrian trajectory prediction models rely on inputs from detection and tracking systems. Prior trajectory prediction benchmarks either contain relatively sparse pedestrian interactions, assume perfect tracking inputs, or rely on overhead viewpoints that minimize occlus
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